Your browser doesn't support javascript.
loading
PingPongPro: a tool for the detection of piRNA-mediated transposon-silencing in small RNA-Seq data.
Uhrig, Sebastian; Klein, Holger.
Afiliación
  • Uhrig S; Bioinformatics Core Facility, Institute of Molecular Biology, Mainz, Germany.
  • Klein H; Bioinformatics Core Facility, Institute of Molecular Biology, Mainz, Germany.
Bioinformatics ; 35(2): 335-336, 2019 01 15.
Article en En | MEDLINE | ID: mdl-29985981
ABSTRACT

Summary:

Piwi-interacting RNAs (piRNAs) are a class of small non-coding RNAs which guide endonucleases to mRNAs of actively transcribed transposons in order to prevent their translation. The resulting mRNA fragments induce a positive feedback loop (the 'ping-pong cycle'), which reinforces piRNA production and hence the transposon-silencing effect. PingPongPro is a command-line tool to scan small RNA-Seq data for signs of ping-pong cycle activity. It implements a novel algorithm that combines empirical probabilities in a multi-factor model to accurately identify transposons which are suppressed through the ping-pong cycle. Availability and implementation Source code, a user manual, and binaries for Microsoft Windows and Linux are available at https//github.com/suhrig/pingpongpro under the GPLv3 license. Supplementary information Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Elementos Transponibles de ADN / Análisis de Secuencia de ARN / ARN Interferente Pequeño Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Elementos Transponibles de ADN / Análisis de Secuencia de ARN / ARN Interferente Pequeño Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Alemania